on004395
NEMAR copy of ds004395

Penn Electrophysiology of Encoding and Retrieval Study (PEERS)

The Penn Electrophysiology of Encoding and Retrieval Study (PEERS) is a large-scale investigation of the behavioral and electrophysiological correlates of memory encoding and retrieval. The dataset comprises EEG recordings from over 300 subjects across three experiments (ltpFR, ltpFR2, and VFFR), totaling more than 7,000 ninety-minute memory testing sessions. Data were acquired using either 129-channel Geodesic Sensor Net or 128-channel BioSemi systems, providing a comprehensive resource for studying neural mechanisms of human memory.

BEH EEG
Issues GitHub OpenNeuro ds004395

Download this dataset

dataset 8925.2 GB exceeds 100.0 GB archive limit; use direct download. Use one of the streaming methods below — all resumable. Full download guide →

  1. NEMAR CLI recommended

    Pulls the pinned version + annexed data and resumes cleanly. Install nemar-cli → 

    nemar dataset download on004395
  2. DataLad

    Clone the dataset repo and fetch file content on demand. Docs → 

    datalad clone https://github.com/nemarDatasets/on004395 on004395
cd on004395 && datalad get .
  3. git-annex

    Plain git + git-annex against the dataset repo. Docs → 

    git clone https://github.com/nemarDatasets/on004395 on004395
cd on004395 && git annex get .
  4. Direct files (wget / curl / rclone)

    Every file with a stable, range-resumable URL from the manifest. Needs curl, jq, wget (or rclone/aria2c). Docs → 

    curl -s https://data.nemar.org/on004395/v1.0.0/manifest.json | jq -r '.[].bytes_url' > urls.txt
wget -xc -i urls.txt

Compute on this dataset

Two routes today, with a third (in-browser one-click submission) landing soon.

  1. NeuroScience Gateway (NSG) portal.

    NSG runs EEGLAB / Brainstorm / MNE pipelines on supercomputing time donated by SDSC. Create an account, point a job at this dataset's S3 prefix (s3://nemar/on004395), and submit.
    nsgportal.org →

  2. Local processing with nemar-cli.

    Pull the dataset to your machine and run any toolbox locally. Honors the published version pinning. 

    npm install -g nemar-cli
nemar dataset clone on004395
cd on004395 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on004395/ — the manifest carries presigned S3 URLs.

Direct compute access is coming soon. One-click NSG submission from this page is scoped for a follow-up phase. Tracked on nemarOrg/website#6.

Citations

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    Files

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    Signal viewer
    How to use the data (for agentic research) license, citation, download commands

    What it is

    Modalities
    BEH, EEG
    Participants
    364
    Size
    8.72 TB
    Tasks
    VFFR, ltpFR, ltpFR2

    License and terms

    License
    CC0
    Recommended citation
    Kahana, M. J., Rudoler, J. H., Lohnas, L. J., Healey, K., Aka, A., Broitman, A., Crutchley, E., Crutchley, P., Alm, K. H., Katerman, B. S., Miller, N. E., Kuhn, J. R., Li, Y., Long, N. M., Miller, J., Paron, M. D., Pazdera, J. K., Pedisich, I., & Weidemann, C. T. (2026). Penn Electrophysiology of Encoding and Retrieval Study (PEERS) (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on004395
    Reference 1
    https://doi.org/10.21105/joss.01896
    Reference 2
    https://doi.org/10.1038/s41597-019-0104-8

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on004395/latest/
    This version (v1.0.0)
    https://data.nemar.org/on004395/v1.0.0/

    How to download

    The dataset
    nemar dataset download on004395 Clones and fetches in one step. Content under stimuli/ and derivatives/ is skipped by default because those trees can be large; add --stimuli --derivatives for the whole thing.
    A subset, one step
    nemar dataset download on004395 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on004395 Clones git-annex pointers only; fetches no file content. Creates ./on004395.
    A subset, step 2
    cd on004395 The get command below reads the clone's annex, so it only works from inside the clone.
    A subset, step 3
    nemar dataset get <files> Pulls the files you actually need. Skips stimuli/ and derivatives/ unless the path you ask for is under one of them.
    One small file
    https://data.nemar.org/on004395/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/on004395/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/on004395/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/on004395/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/on004395